Whisper large-v3
Sovereignty and hosting
Not hosted on LLM EU on this deployment: requests are answered by the built-in mock backend in region dev-mock. No weights run.
Summary
Whisper large-v3 is OpenAI’s multilingual speech-recognition and speech-translation model with 1.54B parameters under the Apache-2.0 licence. It has a fixed 30-second receptive field and processes longer audio with a sliding window, and it uses 128 mel frequency bins rather than the 80 of earlier versions. The model card warns that it was evaluated on roughly ten languages and should be evaluated in-domain before deployment.
Specifications
- Provider
- OpenAI (US)
- Context window
- Not verified: the provider has not documented this claim.
- Parameters
- 1.54B
- Modalities
- audio
- License
- apache-2.0 · licence
- Open weights
- yes
- Release date
- 07 Nov 2023
- Tasks
- translation, multilingual-support, summarization
Languages
Strong: en, de, fr, es, it, pt, nl, pl
Adequate: sv, da, fi, cs, ro, el, uk, ru, tr, ar, zh, ja, ko, hi
Languages
Strong
- en
- de
- fr
- es
- it
- pt
- nl
- pl
Adequate
- sv
- da
- fi
- cs
- ro
- el
- uk
- ru
- tr
- ar
- zh
- ja
- ko
- hi
Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
When to use it
Strengths
- one model for transcription and translation to English
- long-standing tooling support across every major inference stack
- Apache-2.0 licence
Limits
- fixed 30-second receptive field; longer audio needs chunking logic
- the card only claims strong recognition for about ten languages
- the card advises against using it for classification or speaker attributes